Senior Data Engineer (Data Integration)

Hybrid in Malaysia: Kuala Lumpur

Data Integration

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Join EPAM Systems in Malaysia as a Senior Data Engineer. You will design, administer and support scalable data integration solutions using Qlik Replicate. Partnering with diverse teams, you will build reliable pipelines for real-time and batch data movement. Drive continuous improvement, ensure production stability and support modernization across enterprise systems.

Responsibilities

Design, develop and operate scalable data pipelines for app tracking data, event-based analytics and application measurement use cases
Process, transform and integrate raw data from Google Analytics into BigQuery, data lakes and other analytics platforms
Build and maintain SQL queries, Python scripts, data workflows and pipeline components to support data processing requirements
Provide consultation on KPI definitions, measurement frameworks, tracking logic and analytics data structures
Collaborate with business, product and engineering teams to translate requirements into practical technical solutions
Monitor data pipelines, data freshness, workload performance and reliability across app analytics environments
Support API integrations, data ingestion processes, automation activities and improvements to data pipeline operations
Ensure solutions follow data governance, security, audit and operational best practices

Requirements

Proven experience in data engineering, data integration and enterprise production support using Qlik Replicate
Strong understanding of relational databases, data warehousing, CDC and pipeline management
Hands-on experience with Qlik Enterprise Manager, Qlik Compose, Oracle SQL and performance tuning
Demonstrated ability to utilize Unix or Linux scripting for server operations and security setups
Experience supporting data ingestion and troubleshooting within Hadoop or Cloudera Data Platform
Track record of success managing project-based delivery, BAU operations and incident resolution
Strong background in stakeholder management, analytical thinking and cross-functional collaboration
Bachelor’s degree in Computer Science, Data Engineering or a related discipline with a strong awareness of data governance

Nice to have

Hands-on experience working with Talend ETL tools
Knowledge of CI/CD practices for data pipeline deployment and automation
Experience supporting data modernization, cloud migration or analytics platform initiatives